Senior Analyst, Data Integration – Workflows

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• Oversee intricate data integration projects from the design phase to production deployment, guaranteeing that solutions are scalable, observable, and conform to enterprise architecture standards.

• Create and execute production-quality data pipelines (both batch and streaming) that convert raw inputs into reliable curated outputs, including robust error handling, validation, and reconciliation controls.

• Promote and establish engineering best practices for ETL/ELT patterns, workflow orchestration, data quality controls, and operational observability across the team and value streams.

• Lead technical decision-making regarding pipeline architecture, technology choices, and design patterns, balancing business needs with technical viability and long-term sustainability.

• Collaborate with PPD on technical planning and feasibility, offering realistic estimates, identifying technical dependencies, and refining scope to ensure achievable delivery commitments.

• Perform thorough code reviews for SME-built and team-developed pipelines, ensuring compliance with standards for maintainability, testing, logging, data validation, and documentation.

• Prepare IT-ready handover documents, including technical documentation, test evidence, operational procedures, and clearly defined support boundaries.

• Enhance pipeline performance and cost-efficiency through suitable partitioning strategies, caching, incremental processing patterns, and tuning of compute resources.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; a Master's degree is preferred.

• Over 8 years of experience in data engineering, data integration, or similar technical roles with increasing responsibility.

• More than 3 years of experience in technical leadership roles, including mentoring engineers and spearheading complex technical initiatives.

• A proven history of designing and implementing production data pipelines within intricate enterprise environments.

• Expertise in ETL/ELT design patterns, data pipeline architecture, and workflow orchestration frameworks.

• Advanced programming abilities in languages commonly utilized in data engineering (Python, SQL, Scala, or similar).

• A strong grasp of data quality frameworks, data validation techniques, reconciliation patterns, and anomaly detection.

• Experience in implementing observability, monitoring, and alerting systems for production data pipelines.

• Familiarity with data governance principles, metadata management, and compliance frameworks.

• Proficiency in English is required.

🏝️ Benefits

• Health & Wellness: Comprehensive health care coverage tailored for both mental and physical well-being.

• Flexible Downtime: Ample time off to help you recharge for your work commitments.

• Continuous Learning: Access to a wealth of resources to advance your career and acquire valuable new skills.

• Invest in Your Future: Secure your financial future with competitive compensation, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness initiatives.

• Family Friendly Perks: S&P Global offers benefits not only for you but also for your partners and children, featuring some of the best-in-class family benefits.

• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a significant impact.